Triple

T3287178
Position Surface form Disambiguated ID Type / Status
Subject Frank Oz E69009 entity
Predicate notableCharacterPerformed P13156 FINISHED
Object Cookie Monster E290271 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Cookie Monster | Statement: [Frank Oz, notableCharacterPerformed, Cookie Monster]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cookie Monster
Context triple: [Frank Oz, notableCharacterPerformed, Cookie Monster]
  • A. Cookie Monster chosen
    Cookie Monster is a beloved blue, googly-eyed Muppet best known for his voracious appetite for cookies and his appearances on the children's television show Sesame Street.
  • B. Mac (Ronald McDonald)
    Mac (Ronald McDonald) is a self-proclaimed tough, devoutly Christian yet deeply insecure member of the Paddy’s Pub gang on the TV show "It's Always Sunny in Philadelphia," known for his delusional bravado and evolving identity.
  • C. Mad Mouse
    Mad Mouse is a compact steel wild mouse–style roller coaster located at the Michigan’s Adventure amusement park in Michigan.
  • D. Wendy
    Wendy is a character portrayed by actress and model Jamie King, known from her work in film and television.
  • E. Wendy
    Wendy is a musician best known as the guitarist for Prince’s band The Revolution and as half of the duo Wendy & Lisa.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ad859d45748190b0742408c954b39f completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb05779d08190a5517951e71b1380 completed March 8, 2026, 5:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2e85f71508190b194b4d383d7ee32 completed March 12, 2026, 4:22 p.m.
Created at: March 8, 2026, 3:10 p.m.